Study of Temperature Distribution and Parametric Optimization during FSW of AA6082 Using Statistical Approaches 05-12-01-0005
This also appears in
SAE International Journal of Materials and Manufacturing-V128-5EJ
In this article, Al-Mg-Si-Mn alloy (AA6082) is butt joined by employing friction stir welding (FSW). The mechanical and metallurgical properties of joints are analyzed by conducting tensile and microhardness testing, respectively. To measure the temperature at different locations, eight thermocouples (L-shaped k-type) are placed at equal distance from the centerline. Least square method attempts to calculate the temperature at the centerline of joints. The process parameters are also optimized using Taguchi’s five-level experimental design. The optimum process parameters are determined, employing ultimate tensile strength (UTS) as a response parameter. A statistical test “analysis of variance” is used to check the adequacy of the model. It has been observed that rotational speed and feed rate are the predominant factors for UTS and microhardness. Optical microscopic and electron backscatter diffraction analyses are carried out to obtain the macrostructure and microstructure of joints.
Citation: Verma, S., Misra, J., and Gupta, M., "Study of Temperature Distribution and Parametric Optimization during FSW of AA6082 Using Statistical Approaches," SAE Int. J. Mater. Manf. 12(1):57-72, 2019, https://doi.org/10.4271/05-12-01-0005. Download Citation
Author(s):
Shubham Verma, Joy Prakash Misra, Meenu Gupta
Affiliated:
National Institute of Technology Kurukshetra, India
Pages: 16
ISSN:
1946-3979
e-ISSN:
1946-3987
Related Topics:
Tensile strength
Statistical analysis
Optimization
Welding
Metallurgy
Alloys
Logistics
Optics
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